search for: prechelt

...nstance my.blockwisesum(1:10, 3) == c(6, 15, 24, 10) Is there a builtin function that can do this? One could do it by coercing the vector into a matrix of width n, and then use apply, but that is cumbersome if the length is not divisible by n, is it not? Any other ideas? Lutz Prof. Dr. Lutz Prechelt; prechelt at inf.fu-berlin.de Institut fuer Informatik; Freie Universitaet Berlin Takustr. 9; 14195 Berlin; Germany +49 30 838 75115; http://www.inf.fu-berlin.de/inst/ag-se/

...ter age) - uses terminology that is easily mapped to R If yes, I would be very interested in seeing this list. I understand that one book cannot cover it all, but maybe there is at least something like "CAS-" (Conservative Applied Statistics without S) that is of this type? :-) Lutz Prechelt Prof. Dr. Lutz Prechelt; prechelt at inf.fu-berlin.de Institut f?r Informatik; Freie Universit?t Berlin Takustr. 9; 14195 Berlin; Germany +49 30 838 75115; http://www.inf.fu-berlin.de/inst/ag-se/

...right way to solve this problem? I can hardly believe that there is none (although the examples of 'plot' suggest exactly this: They run through multiple plots in a hurry.) I guess the appropriate approach would be if example() had some kind of single-stepping option? Any hints? Lutz Prechelt P.S.: Documentation remark: For users struggling with R CMD check it might be very helpful if R-exts.pdf contained some pointers to the functions or mechanisms used by R CMD check, or the names of source files where to find such information so they can better understand what is going on. Prof....

...es the actions of R CMD check. The most pertinent item appears to be number 13: "The examples provided by the package's documentation are run." Would you say this is a documentation defect that I ought to report to R-bugs? Any help is appreciated. Thanks in advance, Lutz Prechelt Prof. Dr. Lutz Prechelt; prechelt at inf.fu-berlin.de Institut fuer Informatik; Freie Universitaet Berlin Takustr. 9; 14195 Berlin; Germany +49 30 838 75115; http://www.inf.fu-berlin.de/inst/ag-se/

Full_Name: Lutz Prechelt Version: 2.2.1 OS: WinXP SP2 Submission from: (NULL) (130.133.8.114) This command plot(0, 0, xlim=c(3, 5), ylim=c(0, 10, 17)) should complain about 'ylim' (because it has three elements). However, it does in fact (in my german error message at least) complain about 'xlim' inst...

.... It leads to R CMD check output as follows: > par(ask=TRUE) > ## Don't show: > plot(1,type="n") # make R stop and ask Press Return for next plot:## End Don't sh> ow Error: object "ow" not found Rather weird. Any ideas? I am using R 2.2.1. Lutz Prechelt Prof. Dr. Lutz Prechelt; prechelt at inf.fu-berlin.de Institut fuer Informatik; Freie Universitaet Berlin Takustr. 9; 14195 Berlin; Germany +49 30 838 75115; http://www.inf.fu-berlin.de/inst/ag-se/

...am using R 1.8.0) In Perl one would match a regexp such as /([0-9.]+) ?[MG][Hh][Zz]/ and then obtain the number as $1. But the capability of returning $1 is apparently not implemented in grep() or any other function I could find. How is it best done? Thanks in advance, Lutz Prof. Dr. Lutz Prechelt; prechelt at inf.fu-berlin.de Institut fuer Informatik; Freie Universitaet Berlin Takustr. 9; 14195 Berlin; Germany +49 30 838 75115; http://www.inf.fu-berlin.de/inst/ag-se/

On Tue, 8 May 2007, prechelt at inf.fu-berlin.de wrote: > Full_Name: Lutz Prechelt > Version: 2.4.1 > OS: Windows XP > Submission from: (NULL) (160.45.111.67) > > > aggregate (from package stats) should preserve the > ordering of levels of factors it works on and also their > 'ordered' attri...

...ce itself? I have just tried for an hour to find out, with no success whatsoever. I looked in Grid for something that would return such data, but got lost. I looked at tracebacks of panel calls, but couldn't see the forest for the trees. Lonely, sad, and crying... ;-) Lutz Prof. Dr. Lutz Prechelt; prechelt at inf.fu-berlin.de Institut fuer Informatik; Freie Universitaet Berlin Takustr. 9; 14195 Berlin; Germany +49 30 838 75115; http://www.inf.fu-berlin.de/inst/ag-se/

Full_Name: Lutz Prechelt Version: 2.4.1 OS: Windows XP Submission from: (NULL) (160.45.111.67) I stack a number of data.frames using rbind. Each of these dataframes has a column 'authorname', which is a factor and a column author = unclass(authorname) as piecewise pseudonyms. When using rbind to stack these dataf...

...ing the same data as in (3) above, but after some extensions to the code (none of them introducing a new call to rep()). The problem does also appear if I use only the small subset of the data used in the respective part of the computation that fails. Thanks in advance for your help Lutz Lutz Prechelt http://wwwipd.ira.uka.de/~prechelt/ | Whenever you Institut f. Programmstrukturen und Datenorganisation | complicate things, Universitaet Karlsruhe; D-76128 Karlsruhe; Germany | they get (Phone: +49/721/608-4068, FAX: +49/721/608-7343) | less simple. >>> Ever had negative researc...

...[j] <- is.factor(xj) The behaviour is compatible with S apart from the comment in the R help page. That categories are promoted to factors is consistent with the help for 'category'. It is not a bug, but the help page could say what happens for categories. On Fri, 23 Mar 2007, Lutz Prechelt wrote: > I am sorry. > Here is a minimal example: > > a=data.frame(x=c(1:3),y=unclass(factor(c(5:7)))) > b=data.frame(x=c(11:13),y=unclass(factor(c(7:9)))) > rbind(a,b) > > Lutz Prechelt > > -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of...

...disagree that what intersect() for factors does is 'sensible': e.g. it is asymmetric in its arguments. The 'standard' behaviour would be for R to coerce arguments to whatever they are documented to be, here using as.vector, and we will consider doing that. On Thu, 29 Mar 2007, prechelt at inf.fu-berlin.de wrote: > Full_Name: Lutz Prechelt > Version: 2.4.1 > OS: Windows XP > Submission from: (NULL) (160.45.111.67) > > > 'union' ignores the fact if its arguments are factors while all other set > operations (intersect, setdiff, setequal, is.element)...

Full_Name: Lutz Prechelt Version: 2.4.1 OS: Windows XP Submission from: (NULL) (160.45.111.67) aggregate (from package stats) should preserve the ordering of levels of factors it works on and also their 'ordered' attribute if present. But it does not. Here is an example: ff = factor(c("a","b&quo...

Dear R-devels, I am looking for a package (or some other infrastructure) for the following situation: I am doing a larger data evaluation. I have several dozen data files and do not want to keep the persistent data in the R workspace (for robustness reasons). I have several dozen R files, some for reading and preprocessing data files, others for doing plots or analyses. I will make frequent

Ajay, thank you very much for picking up that age-old habit of posting summaries. It existed years ago on s-help and I find it is still a great thing: I would not have bothered to read your original question nor the answers you got, but I did read the summary -- and I learned something quite interesting! Maybe some others who receive multiple non-elementary answers to their questions could

I'm very new to R and utterly blown away by not only the language but the unbelievable set of packages and the documentation and the documentation standards and... I was an early APL user and never lost my love for it and in R I find most of the essential things I loved about APL except for one thing. At this early stage of my learning I can't yet determine if there is a way to

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> in some cases the bootstrap estimates for the > highest confidence level are obviously wrong: > 0.05/x -1.33318711781158 > 0.025 -1.09386961626344 > 0.05 -0.868768454819694 > 0.1 -0.652649120212949 > 0.16 0.0453058935697044 > 0.84 0.104645679223495 > 0.9 0.213385388775905 > 0.95 0.368838243723381 > 0.975 0.615868703042345 > 1-0.05/x

> the main advantage it has over SPSS-like software is that you do not > need to explicitly create dummy variables. You only need to specify > your dependent variable and independent variables and R will fit it > (and create dummy variables automatically) for you. Does the audience know exactly what the creation of dummy variables in SPSS is and means? If not, they might consider